Wouter Boomsma

Orcid: 0000-0002-8257-3827

According to our database1, Wouter Boomsma authored at least 18 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition.
J. Mach. Learn. Res., 2023

BEND: Benchmarking DNA Language Models on biologically meaningful tasks.
CoRR, 2023

Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters.
CoRR, 2023

Implicit Variational Inference for High-Dimensional Posteriors.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Cholesky Gaussian Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2020
What is a meaningful representation of protein sequences?
CoRR, 2020

2019
(q, p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs.
CoRR, 2019

2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Spherical convolutions and their application in molecular modelling.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
ENCORE: Software for Quantitative Ensemble Comparison.
PLoS Comput. Biol., 2015

2014
Combining Experiments and Simulations Using the Maximum Entropy Principle.
PLoS Comput. Biol., 2014

2013
PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure.
J. Comput. Chem., 2013

2012
Fast large-scale clustering of protein structures using Gauss integrals.
Bioinform., 2012

2010
Beyond rotamers: a generative, probabilistic model of side chains in proteins.
BMC Bioinform., 2010

2005
Full cyclic coordinate descent: solving the protein loop closure problem in C<i>alpha</i> space.
BMC Bioinform., 2005

2004
Multiple Sequence Alignment Using SAGA: Investigating the Effects of Operator Scheduling, Population Seeding, and Crossover Operators.
Proceedings of the Applications of Evolutionary Computing, 2004

A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2004

2003
Using adaptive operator scheduling on problem domains with an operator manifold: applications to the travelling salesman problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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